## Table 3 |
||||

Performance characteristics of the predictors in the classification trees with 95%
confidence intervals |
||||

Classification |
Sensitivity |
Specificity |
Negative predictive value |
Positive predictive value |

Chance (random classification) | 0.50 [0.40, 0.58] | 0.50 [0.43, 0.58] | 0.56 [0.46, 0.66] | 0.45 [0.33, 0.56] |

Screener conservative | 0.34 [0.21, 0.48] | 0.89 [0.82, 0.96] | 0.63 [0.53, 0.73] | 0.72 [0.54, 0.88] |

Screener progressive | 0.87 [0.74, 0.93] | 0.30 [0.19, 0.39] | 0.73 [0.54, 0.86] | 0.49 [0.39, 0.58] |

Bootstrapped (200 iterations) 95% confidence intervals are displayed within brackets [lower, upper]; Screener conservative interprets subgroup III as responding negative to treatment; Screener progressive interprets subgroup III as responding positive to treatment; Sensitivity is the proportion of actual positive treatment responders which are correctly identified; Specificity is the proportion of negative treatment responders which are correctly identified; Negative predictive value is the proportion of participants with negative predicted outcome who are correctly identified; Positive predictive value is the proportion of participants with positive predicted outcome who are correctly identified.

Blankers * et al.*

Blankers * et al.* *BMC Public Health* 2013 **13**:455 doi:10.1186/1471-2458-13-455